This article is part of the NHL Numbers reference library, which seeks to collect articles from around the web that have contributed to our understanding of the game.

This page is devoted to articles that look at the role of variance and regression in hockey. This will include looking at how much variance a given statistic has and whether it reflects a true talent, how actual performances compare to random chance models, etc.

We need your help to keep the library complete and up to date -- contact me on Twitter (@BSH_EricT) or via email (bsh.erict -at- gmail) with suggestions of articles you think we should consider adding.

No doubt, this section has some of the most complex math behind it. It's also some really important stuff, though; I'll think about whether I could put together a review article that simplified some of the findings.